Yuichi Abe has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
Abstract: The present disclosure proposes a pattern matching device capable of achieving matching processing that is characterized by involving a learning function even for a semiconductor pattern including a repetitive pattern, in particular. The pattern matching device pertaining to the present disclosure is provided with a learning unit for estimating a first correlation image having, as pixel values thereof, numerical values representing a correlation between a first image and a second image. The pattern matching device calculates a second correlation image having, as pixel values thereof, numerical values representing the correlation between a derivative image generated from the first image and the first image, and the learning unit performs learning so as to reduce the difference between the first correlation image and the second correlation image (refer to FIG. 1).
Abstract: Provided is a beer-taste beverage, comprising less than 0.07 ppm by mass of diacetyl, and 0.4 (v/v) % or more and less than 1.5 (v/v) % of ethanol, having an H2S content of less than 5 ppb by mass, and comprising 50 to 1000 ppm by mass of lactic acid, or 50 to 1000 ppm by mass of phosphoric acid.
Abstract: A machine learning system and a machine learning method capable of selecting a pretrained model to be used in transfer learning in a short time without actually executing the transfer learning includes a pretrained model acquisition unit which acquires a pretrained model from a pretrained model storage unit storing a plurality of pretrained models obtained by learning a transfer source task under respective conditions; a transfer learning dataset storage unit configured to store dataset related to a transfer target task; a pretrained model adaptability evaluation unit configured to evaluate adaptability of each pretrained model acquired by the pretrained model acquisition unit to the dataset related to the transfer target task; and a transfer learning unit configured to execute, based on an evaluation result of the pretrained model adaptability evaluation unit, transfer learning using a selected pretrained model and the dataset, and outputs a learning result as a trained model.
Abstract: An information terminal that uploads IC chip information to a server is provided. The information terminal includes a reading unit that reads information from a recording medium at a first timing based on first information described in setting information, and an upload unit that uploads the information to an external device at a second timing based on second information described in the setting information. the recording medium is an IC chip built in the information terminal or an IC chip accessible from the information terminal. The reading unit reads IC chip information from the IC chip, and the upload unit uploads the IC chip information to the external device.
Abstract: There is provided a two-part urethane adhesive composition including: a main agent containing a polyisocyanate component (A); and a curing agent containing water and an active hydrogen-containing compound (B). The (B) contains a compound represented by Formula (4); the (A) contains a urethane prepolymer (A-3); an average active hydrogen concentration of the (B) is 0.50 to 3.50 mol/kg; an average active hydrogen concentration of the (B) and the water is 2.00 to 8.00 mol/kg. The main agent and the curing agent are mixed in such amounts as to satisfy conditions that: a ratio of the number of isocyanate groups of the (A) to the number of active hydrogens of the (B) is 1 to 5; and a ratio of the number of isocyanate groups of the (A) to the total number of active hydrogens of the (B) and the water is 0.5 to 2.5.
Abstract: A cartridge includes a photosensitive member, a charging member configured to charge the photosensitive member, a first unit including the photosensitive member and the charging member, a developing member configured to deposit toner onto the photosensitive member, and a second unit including the developing member. A holding portion is movably supported by the first unit or the second unit, with the holding portion being configured to restrict a relative position between the first unit and the second unit, the holding portion being movable between a first position for holding the second unit in a spaced position by the first unit and a second position for holding the second unit in a developing position by the first unit.
Abstract: The purpose of the present invention is to provide a pattern matching device and computer program that carry out highly accurate positioning even if edge positions and numbers change. The present invention proposes a computer program and a pattern matching device wherein a plurality of edges included in first pattern data to be matched and a plurality of edges included in second pattern data to be matched with the first pattern data are associated, a plurality of different association combinations are prepared, the plurality of association combinations are evaluated using index values for the plurality of edges, and matching processing is carried out using the association combinations selected through the evaluation.
Abstract: An object of the present invention is to provide a urethane adhesive composition having excellent initial adhesiveness and excellent adhesion durability. The present invention is a urethane adhesive composition containing a urethane prepolymer (A) having an isocyanate group, an isocyanate compound (B) having an isocyanurate structure and an isocyanate group, and an adduct of a compound represented by Formula (X) below (in Formula (X), R11 and R12 each independently represent a hydrocarbon group) and a phenol compound.
Abstract: The learning device learns a tracking model used for a radar device. A first acquisition unit acquires, from a radar device, a target detection information indicating a position of a target detected based on a received wave, and a track of the target calculated based on the target detection information. A second acquisition unit acquires a target position information indicating a position of the target. A learning data generation unit generates learning data using the target detection information, the track, and the target position information. A learning processing unit learns a tracking model for performing tracking processing of the target based on the target detection information, using the learning data.
Abstract: A heat dissipation member includes an intermediate member, a first member and a second member, each with a plate shape and made of a ceramic. The intermediate member includes a plurality of through holes each penetrating through a first surface and a second surface, of the intermediate member, located opposite to each other. The first member includes a first groove portion on a third surface of the first member, facing the first surface of the intermediate member. The second member includes a plurality of second grooves on a fourth surface facing the second surface of the intermediate member, and a heat source is arranged on a fifth surface located opposite to the fourth surface.
Abstract: A pattern matching apparatus includes a computer system configured to execute pattern matching processing between first pattern data based on design data 104 and second pattern data representing a captured image 102 of an electron microscope. The computer system acquires a first edge candidate group including one or more first edge candidates, acquires a selection-required number (the number of second edge candidates to be selected based on the second pattern data), acquires a second edge candidate group including the second edge candidates of the selection-required number, acquires an association evaluation value for each of different association combinations between the first edge candidate group and the second edge candidate group, selects one of the combinations based on the association evaluation value, and calculates a matching shift amount based on the selected combination.
Abstract: The learning device learns the target detection model used in the radar device. The learning device includes an acquisition unit, a learning data generation unit, and a learning processing unit. The acquisition unit acquires a reception signal generated based on the received wave and a tracking signal generated based on the reception signal from the radar device. The learning data generation unit generates learning data using the reception signal and the tracking signal. The learning processing unit learns a target detection model that detects a target from the reception signal, using the learning data.
Abstract: The learning device includes an acquisition unit, a learning data generation unit, and a learning processing unit. The acquisition unit acquires operation data generated during an operation of a radar device and the operation history data indicating operations performed by an operator on the radar device from the radar device. The learning data generation unit generates the learning data using the operation data and the operation history data. The learning processing unit learns an operation determination model that determines an operation to be performed on the radar device based on the operation data, using the learning data.
Abstract: A machine learning system performs transfer learning to output a trained model by performing training using a parameter of a pre-trained model by using a given dataset and a given pre-trained model. The machine learning system includes a dataset storage unit that stores one or more datasets, and a first training unit that performs training using a dataset stored in the dataset storage unit to generate the pre-trained model, and stores the generated pre-trained model in a pre-trained model database. The dataset storage unit stores tag information including any one or more of domain information indicating a target object of data included in a dataset to be stored, class information indicating a class included in data, and data acquisition condition information related to an acquisition condition of data and a dataset in a manner that the tag information and the dataset are associated with each other.
May 2, 2022
November 24, 2022
Masayoshi ISHIKAWA, Sota KOMATSU, Yuichi ABE, Mitsuji IKEDA
Abstract: A circuit board according to the present disclosure includes a substrate that is composed of a ceramic(s), and an electrically conductive layer that is positioned in contact with the substrate. The substrate includes a groove around the electrically conductive layer. Furthermore, an electronic device according to the present disclosure includes a circuit board with a configuration as described above, and an electronic component that is positioned on the electrically conductive layer.
Abstract: Provided is a waterproof gas-permeable membrane (1) having higher levels of both gas permeability and waterproofness than conventional ones. The waterproof gas-permeable membrane (1) includes: a non-porous resin film (2) having through holes (21a to 21g) formed to extend through the thickness of the resin film (2); and a liquid-repellent layer (3) formed on a principal surface of the resin film (2) and having openings (31) positioned in register with the through holes (21a to 21g). The through holes (21a to 21g) extend straight and have a diameter of 15 ?m or less. The through holes (21a to 21g) are distributed at a hole density of 1×103 holes/cm2 or more and 1×109 holes/cm2 or less in the resin film (2). The through holes (21a to 21g) extend in oblique directions with respect to a direction perpendicular to the principal surface of the resin film (2). The through holes (21a to 21g) that extend in different oblique directions are present together.
Abstract: An object is to provide a resistor manufacturing method and a resistor capable of suppressing variation in the thickness of a thermally conductive layer intervening between a resistive body and electrode plates. The method of manufacturing the resistor according to the present invention includes a step of forming an uncured first thermally conductive layer on a surface of a resistive body, a step of curing the first thermally conductive layer, a step of laminating an uncured second thermally conductive layer on a surface of the first thermally conductive layer, and a step of bending electrode plates respectively disposed at both sides of the resistive body, curing the second thermally conductive layer, and performing adhesion between the resistive body and the electrode plates via the first thermally conductive layer and the second thermally conductive layer.
Abstract: A protective cover member includes a laminate including: a protective membrane having a shape configured to cover an opening when the protective cover member is placed on the face of an object; a substrate film joined to the protective membrane; and a first adhesive layer configured to fix the protective cover member to the face, wherein an outer peripheral surface of the protective cover member has a step in a laminating direction of the laminate, a first portion of the protective cover member protrudes at the step more outward than a second portion of the protective cover member does when the protective cover member is placed on the face, the first portion being positioned farther from the face than the step, the second portion being positioned closer to the face than the step, and the protective membrane and the substrate film are positioned in the first portion.
Abstract: A circuit base of the present disclosure includes a base made of ceramic, a joint layer located on the base, and a metal layer located on the joint layer. The metal layer contains copper. The joint layer contains aluminum, silicon, and oxygen.